DocumentCode
1846735
Title
A Cellular Automaton Traffic Model Considering the Influence of Driving State on Randomization
Author
Zhengtao Xiang ; Juan Bao ; Yujin Li ; Li Xiong
Author_Institution
Sch. of Electr. & Inf. Eng., Hubei Univ. of Automotive Technol., Shiyan, China
fYear
2013
fDate
21-23 June 2013
Firstpage
1158
Lastpage
1161
Abstract
The cellular automaton (CA) traffic models are widely used to simulate the real traffic. Considering the influence of driving states on randomization, a cellular automaton model based on the NS model is proposed. In our new model, the randomization probability is different for different driving states, which is determined by the velocity changes after the step of deterministic deceleration. Simulation results show that the maximum flux of the new model is greater than that of the NS model, and the traffic evolution of the new model is more complex than that of the NS model.
Keywords
cellular automata; probability; road traffic; CA traffic model; NS model; cellular automaton traffic model; deterministic deceleration; driving state; randomization probability; Acceleration; Automata; Complexity theory; Computational modeling; Educational institutions; Roads; Vehicles; cellular automaton; driving state; traffic flow;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location
Shiyang
Type
conf
DOI
10.1109/ICCIS.2013.307
Filename
6643224
Link To Document